Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment
Large amount of data are being produce by Internet-of-things sensor networks and applications. Secure and efficient deduplication of Internet-of-things data in the cloud is vital to the prevalence of Internet-of-things applications. In order to ensure data security for deduplication, different data...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2020-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720911003 |
| _version_ | 1797723182519549952 |
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| author | Yuan Gao Hequn Xian Aimin Yu |
| author_facet | Yuan Gao Hequn Xian Aimin Yu |
| author_sort | Yuan Gao |
| collection | DOAJ |
| description | Large amount of data are being produce by Internet-of-things sensor networks and applications. Secure and efficient deduplication of Internet-of-things data in the cloud is vital to the prevalence of Internet-of-things applications. In order to ensure data security for deduplication, different data should be assigned with different privacy levels. We propose a deduplication scheme based on threshold dynamic adjustment to ensure the security of data uploading and related operations. The concept of the ideal threshold is introduced for the first time, which can be used to eliminate the drawbacks of the fixed threshold in traditional schemes. The item response theory is adopted to determine the sensitivity of different data and their privacy score, which ensures the applicability of data privacy score. It can solve the problem that some users care little about the privacy issue. We propose a privacy score query and response mechanism based on data encryption. On this basis, the dynamic adjustment method of the popularity threshold is designed for data uploading. Experiment results and analysis show that the proposed scheme based on threshold dynamic adjustment has decent scalability and practicability. |
| first_indexed | 2024-03-12T09:59:11Z |
| format | Article |
| id | doaj.art-40afc3bf4f6a4505ae7d96b247154141 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T09:59:11Z |
| publishDate | 2020-03-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-40afc3bf4f6a4505ae7d96b2471541412023-09-02T11:52:48ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772020-03-011610.1177/1550147720911003Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustmentYuan Gao0Hequn Xian1Aimin Yu2State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, ChinaState Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, ChinaInstitute of Information Engineering, Chinese Academy of Sciences, Beijing, ChinaLarge amount of data are being produce by Internet-of-things sensor networks and applications. Secure and efficient deduplication of Internet-of-things data in the cloud is vital to the prevalence of Internet-of-things applications. In order to ensure data security for deduplication, different data should be assigned with different privacy levels. We propose a deduplication scheme based on threshold dynamic adjustment to ensure the security of data uploading and related operations. The concept of the ideal threshold is introduced for the first time, which can be used to eliminate the drawbacks of the fixed threshold in traditional schemes. The item response theory is adopted to determine the sensitivity of different data and their privacy score, which ensures the applicability of data privacy score. It can solve the problem that some users care little about the privacy issue. We propose a privacy score query and response mechanism based on data encryption. On this basis, the dynamic adjustment method of the popularity threshold is designed for data uploading. Experiment results and analysis show that the proposed scheme based on threshold dynamic adjustment has decent scalability and practicability.https://doi.org/10.1177/1550147720911003 |
| spellingShingle | Yuan Gao Hequn Xian Aimin Yu Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment International Journal of Distributed Sensor Networks |
| title | Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment |
| title_full | Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment |
| title_fullStr | Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment |
| title_full_unstemmed | Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment |
| title_short | Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment |
| title_sort | secure data deduplication for internet of things sensor networks based on threshold dynamic adjustment |
| url | https://doi.org/10.1177/1550147720911003 |
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